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Optimality analysis of sensor-target geometries in Passive localization: Part 1 - bearing-only localization
conference contribution
posted on 2007-01-01, 00:00 authored by Adrian Bishop, B Fidan, B Anderson, K Dogancay, Pubudu PathiranaPubudu PathiranaIn this paper we characterize the relative sensor-target geometry for bearing-only localization in R2. We analyze the geometry in terms of the Cramer-Rao inequality and the corresponding Fisher information matrix, aiming to characterize and state explicit results in terms of the potential localization performance. In particular, a number of interesting results are rigorously derived which highlight erroneous assumptions often made in the existing literature.
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Event
International Conference on Intelligent Sensors, Sensor Networks and Information Processing (2007 : Melbourne, Vic.)Pagination
7 - 12Publisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Melbourne, AustraliaPlace of publication
Piscataway, N.J.Start date
2007-12-03End date
2007-12-06ISBN-13
9781424415021ISBN-10
1424415020Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2007, IEEETitle of proceedings
Proceedings of the 2007 Intelligent Sensors, Sensor Networks & Information Processing ConferenceUsage metrics
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